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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 22080
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    Explanations

    professional sports teams from different cities

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or types of beings and various cultures or sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.58
     sparing
    -0.57
    aughed
    -0.51
    expected
    -0.50
    WithNo
    -0.50
    oliath
    -0.48
     moderately
    -0.48
     inconsist
    -0.47
     lightly
    -0.46
    oaded
    -0.46
    POSITIVE LOGITS
     etc
    1.56
    ...)
    1.29
    âĢ¦)
    1.27
    ,...
    1.24
    etc
    1.24
     ect
    1.12
    âĢ¦
    1.02
    ...
    0.97
    âĢ¦.
    0.95
    ...]
    0.94
    Activations Density 0.258%

    No Known Activations